Descripción física 
XII, 232 p. online resource. 

text txt rdacontent 

computer c rdamedia 

online resource cr rdacarrier 

text file PDF rda 
Colección 
Modeling and Simulation in Science, Engineering and Technology, 21643679


Modeling and Simulation in Science, Engineering and Technology, 21643679

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Springer eBooks. Mathematics and Statistics

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Contiene: 
An Introduction to MATLAB. Elementary Models with Applications  Optimal Control of Ordinary Differential Systems. Optimality Conditions  Optimal Control of Ordinary Differential Systems. Gradient Methods  Optimal Harvesting for AgeStructured Population  Optimal Control of Diffusive Models  Appendices  References  Index. 
Resumen: 
Combining two important and growing areas of applied mathematicś䣯ntrol theory and modelinǵ䴨is textbook introduces and builds on methods for simulating and tackling problems in a variety of applied sciences. Control theory has moved from primarily being used in engineering to an important theoretical component for optimal strategies in other sciences, such as therapies in medicine or policy in economics. Applied to mathematical models, control theory has the power to change the way we view biological and financial systems, taking us a step closer to solving concrete problems that arise out of these systems. Emphasizing "learning by doing," the authors focus on examples and applications to realworld problems, stressing concepts and minimizing technicalities. An elementary presentation of advanced concepts from the mathematical theory of optimal control is provided, giving readers the tools to solve significant and realistic problems. Proofs are also given whenever they may serve as a guide to the introduction of new concepts. This approach not only fosters an understanding of how control theory can open up modeling in areas such as the life sciences, medicine, and economics, but also guides readers from applications to new, independent research. Key features include: * An introduction to the main tools of MATLAB®, as well as programs that move from relatively simple ODE applications to more complex PDE models; * Numerous applications to a wide range of subjects, including HIV and insulin treatments, population dynamics, and stock management; * Exploration of cuttingedge topics in later chapters, such as optimal harvesting and optimal control of diffusive models, designed to stimulate further research and theses projects; * Exercises in each chapter, allowing students a chance to work with MATLAB and achieve a better grasp of the applications; * Minimal prerequisites: undergraduatelevel calculus; * Appendices with basic concepts and results from functional analysis and ordinary differential equations, including Rungé㋵tta methods; * Supplementary MATLAB files are available at the publisheŕ鳠website: http://www.birkhauserscience.com/9780817680978/. As a guided tour to methods in optimal control and related computational methods for ODE and PDE models, An Introduction to Optimal Control Problems in Life Sciences and Economics serves as an excellent textbook for graduate and advanced undergraduate courses in mathematics, physics, engineering, computer science, biology, biotechnology, and economics. The work is also a useful reference for researchers and practitioners working with optimal control theory in these areas. 
Materia 
Mathematics. 

Differential equations. 

Game theory. 

System theory. 

Mathematical models. 

Biomathematics. 

Control engineering. 

Mathematics.

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Mathematical Modeling and Industrial Mathematics.

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Control.

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Systems Theory, Control.

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Game Theory, Economics, Social and Behav. Sciences.

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Mathematical and Computational Biology.

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Ordinary Differential Equations.

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Autor secundario 
Arnăutu, Viorel., author.


Capasso, Vincenzo., author.


SpringerLink (Online service)

En 
Springer eBooks 
OTRO SOPORTE 
Printed edition: 9780817680978 
ISBN 
9780817680985 9780817680985 
ISBN/ISSN 
10.1007/9780817680985 doi 
